Senior Technology Risk Analyst – AI CoE
Fidelity Investments
- Location
- Durham, NC
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 18, 2026
Skills
About this role
Job Description
Note: Fidelity will not provide immigration sponsorship for this position. Do you want to help shape the future of AI governance and risk management across the enterprise? The AI Center of Excellence within Enterprise Technology Risk and Analytics (ETRA) is seeking a motivated and forward-thinking professional to help advance Fidelity's AI Risk Management Program. In this role, you will contribute to the development and execution of AI governance, risk, and control strategies that enable the responsible adoption of Artificial Intelligence technologies across the organization. You will work closely with business, technology, risk, compliance, cybersecurity, and audit partners to identify, assess, and mitigate risks associated with Generative AI, machine learning, intelligent agents, and third-party AI solutions. The role will focus on strengthening AI governance frameworks, evaluating AI control environments, supporting responsible AI practices, and helping the organization navigate the rapidly evolving AI landscape. Partnering with AI Centers of Excellence (AI CoEs), technology leaders, and business stakeholders, you will perform AI risk assessments, evaluate governance and oversight processes, identify opportunities to automate and enhance risk management activities, and support the safe, secure, and compliant adoption of AI capabilities. You will also collaborate with Operational Risk, Cybersecurity, Compliance, Legal, and Internal and External Audit teams to ensure AI-related risks are appropriately managed and aligned with enterprise standards, policies, and regulatory expectations.
The Team
You will report to the Director of AI Technology Risk and join a team responsible for advancing Fidelity's enterprise AI governance and risk management capabilities. As Artificial Intelligence continues to transform how the organization serves customers and operates its business, the AI Technology Risk team plays a critical role in enabling innovation while ensuring AI solutions are deployed responsibly, securely, and in alignment with regulatory and enterprise risk expectations. The team provides independent oversight and strategic advisory services across Generative AI, machine learning, intelligent agents, and emerging AI technologies. Working across business units and technology organizations, the team helps define AI governance standards, assess and manage AI-related risks, influence enterprise AI strategy, and promote responsible AI practices throughout the AI lifecycle. As part of the broader Legal, Risk, and Compliance organization, you will collaborate with executive leaders, AI Centers of Excellence, Cybersecurity, Compliance, Audit, and technology teams to help shape the future of AI governance and responsible AI adoption across the enterprise. The Expertise You Have 5 plus years’ experience in AI, information technology risk, cyber security, controls or audit roles Bachelor’s degree in computer science, Technology, or a related field of study preferred. Demonstrated technical abilities in multiple areas (e.g., AI, Data Science, technology infrastructure and application controls, cyber security, access management, cloud, resiliency, etc.) Experience performing detailed technology risk assessments, control assessments or IT audits Strong understanding of cybersecurity, technology risk, and operational risk principles as they relate to AI solutions. Ability to analyze AI architectures, data flows, model development processes, and technical control environments. Ability to communicate complex AI risks and technical concepts to executives, business partners, engineering teams, and auditors. The Skills You Bring You will contribute to a team through your strong knowledge of AI / LLM’s and related information technology processes, governance, controls and a comprehensive understanding of risk, quality control and assurance functions. Your love of solving complex problems, and